The noisy tenants: Engineering fairness in multi-tenant SIEM solutions

Multi-tenant SIEM (security information and event management, a platform that collects and analyzes security data from many sources) solutions share physical resources like CPU and memory among different customers, creating a "noisy neighbor" problem where one customer's heavy workload can slow down threat detection for others and violate service promises. While vendors market cloud-based SIEM as efficient and reliable, most don't publicly discuss how they prevent this fairness issue, which requires sophisticated engineering strategies like fair-share scheduling (giving each customer a proportional share of resources) and intelligent queuing rather than simple rate-limiting.